Descriptive Study of the Longevity of Dental Implant Surgery Drills
Bibliographic record
Abstract
BACKGROUND: Atraumatic preparation of the osteotomy site is critical for osseointegration. PURPOSE: This study aimed to investigate the effects of multiple usages of dental implant drills on bone temperature changes and to examine the cutting surfaces of these drills under a scanning electron microscope (SEM). MATERIALS AND METHODS: The implant osteotomy procedure was adapted to the experimental setting to simulate wear on implant drills by preparing bovine ribs using a constant drilling force. Thermocouples were placed in the specimens to record temperature changes. SEM images of the drills were taken, and elemental spectroscopic analysis was performed. RESULTS: Temperatures measured in the bone adjacent to the implant site did not exceed 27.7°C during the experiment. Spectroscopic elemental analysis indicated that two of the drills were of a stainless steel composition, and the other drill consisted of a tungsten carbide-coated stainless steel. The tungsten carbide-coated bur had the lowest overall drilling temperatures and showed the least surface corrosion and plastic deformation. SEM analysis showed degradation of the cutting surfaces of the burs although the plastic deformation and surface wear did not appear to affect the cutting temperatures. Surface corrosion was observed on the cutting surfaces. CONCLUSIONS: Drills used for up to 50 osteotomies do not appear to elevate bone temperatures to a harmful level. However, drill corrosion is potentially important in determining the life span of implant burs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".